Enthusiast
Hi, I'm Prateek Sharma
Infrastructure Engineer at Google | GSoC '26 Contributor @gprMax | Verified by @google
Architecting high-availability distributed systems with 99.99% reliability. Expert in Kubernetes orchestration, CI/CD pipelines, and automated regression testing via Keploy. Driving Shift-Left observability and sub-millisecond latency through Go-based backend engineering. Verified GSoC '26 Contributor leveraging Google infrastructure for global scalability.
Who I Am
Passion & Purpose
I am a Full-Stack Developer and Open Source Enthusiast with a passion for transforming complex engineering challenges into automated solutions. Currently, I am focused on building CI/CD Pipelines and Automated Testing frameworks for advanced physics engines like gprMax, which serves as the core of my GSoC '26 initiative.
My vision is to bridge the gap between software engineering and physical simulations by creating scalable, high-performance digital infrastructure. I specialize in containerization technologies (Docker, Kubernetes), infrastructure automation, and designing robust testing frameworks that ensure reliability at scale.
With hands-on experience in microservices architecture, DevOps practices, and computational physics, I'm committed to open source contributions that advance the engineering community. My goal is to build systems that are not just functional, but transformative in how teams approach automation and infrastructure challenges.
Academic Excellence
Pursuing B.Tech in CSE with AI/ML specialization from Chameli Devi Group of Institutions, affiliated with RGPV (2025-2029).
Infrastructure & DevOps
Architecting high-performance infrastructures using Docker and Kubernetes. Engineered distributed data pipelines with PV/PVC storage aggregators for sub-millimeter precision.
Open Source Contributor
Active open source developer contributing to gprMax (GSoC '26), Keploy, and GitHub projects. Building resilient automated testing frameworks for complex microservices.
Technical Expertise
Programming Languages
Core languages for development
Infrastructure & DevOps
Container orchestration and cloud platforms
Backend & Frameworks
Server-side technologies and APIs
Database & Data Storage
Database management and distributed storage
AI & Computational Physics
Machine Learning and Physics simulation
Tools & Testing
Development and testing tools
GSoC'26 Proposal Research
The Trident Pipeline: Cloud-Native CI/CD for Physics-Driven Simulation Testing
Cloud-Native Architecture
Engineered Docker multi-stage builds and GitHub Actions for automated physics-driven regression testing with bit-for-bit identical simulation environments globally.
NRMSE Validation Framework
Implemented Normalized Root Mean Square Error (NRMSE) based validation to maintain less than 1% error threshold in electromagnetic waveforms across all simulations.
Elastic Scaling with HPC
Architected elastic scaling model using Kubernetes (GKE/EKS) for High-Performance Computing workloads with dynamic resource allocation and cost optimization.
Persistent Metadata Tracking
Integrated PostgreSQL for comprehensive metadata tracking and HDF5 visual artifacts generation, transforming manual research workflow into fully automated pipeline.
Enterprise-Grade Pipeline
Transformed gprMax into a production-ready system ensuring long-term code integrity and reliability for the global geophysical research community.
Scalable Infrastructure
Built resilient, fully automated infrastructure supporting global simulation workloads with intelligent resource management and fail-safe mechanisms.
System Architecture & Specialization
Operating at the intersection of High-Performance Computing and Cloud-Native Infrastructure, architecting systems that are both resilient and scalable.
Linux & System Optimization
Deep kernel-level expertise
Core tech stack anchored in profound proficiency with Linux (Fedora), leveraging low-level system understanding to optimize workflows and ensure environment stability across distributed systems.
Containerization & Orchestration
Enterprise-scale deployment
Specialized in containerization and orchestration, utilizing Docker and Kubernetes to deploy complex microservices and stabilize computational pipelines at global scale.
Data & Physics Visualization
Scientific computing expertise
For data-driven insights and physics simulations, leveraging Matplotlib and Python's scientific ecosystem to transform raw computational data into high-fidelity visualizations and actionable insights.
System Design & Automation
Production-grade infrastructure
Beyond coding, focus on rigorous System Design logic to build automated CI/CD infrastructures that bridge the gap between theoretical physics and production-ready software, managing kernel-level performance to orchestrating global deployments.
Core Philosophy: Build for absolute reliability and performance. Whether managing kernel-level optimization or orchestrating global deployments, the mission remains consistent—engineer systems that are both resilient and infinitely scalable across any environment.
My Journey
Infrastructure & DevOps Engineer | GSoC '26 Contributor @gprMax
Systems Engineer & Global Open Source Contributor
- Search 'pratiktech28' on Google to explore my portfolio and contributions across open source ecosystems
- Engineering resilient infrastructure solutions that power computational physics simulations and modern DevOps pipelines
- Designing scalable systems architecture for global accessibility and enterprise-grade reliability
- Bridging the gap between physics-based computing and modern cloud-native infrastructure at scale
Lead Systems Optimizer & Global Open Source Contributor
No-Quit Architecture Mindset
- Navigated high-pressure environments, solving 30+ critical system-breaking errors preventing deployment failures
- Neutralized 70+ performance inhibitors and identified deep-seated CI/CD pipeline failures and HPC bottlenecks with consistent delivery of system stability
- Stabilized and optimized computational physics simulations for global user base, ensuring gprMax ecosystem remains robust and accessible worldwide
- Engineered System Resilience across Keploy and gprMax ecosystems—handling Kernel Panics with focus on Absolute System Stability regardless of complexity
Systems Architect & AI Pathbreaker
High-Octane Open Source Contributor
- Architecting the future of Open Source at gprMax and Keploy with deep expertise in Physics-CI/CD intersection
- Neutralized 70+ performance bottlenecks in computational physics simulations, earning status as one of most active contributors in ecosystem
- Engineered resilient automated testing frameworks and enterprise-grade testing infrastructure for Agentic AI systems
- Optimizing HPC infrastructure and building systems that power the next generation of Agentic AI while operating at peak efficiency
GSoC '26 Contributor
Infrastructure & DevOps Engineer
- Engineered containerized CI/CD infrastructure (The Trident Pipeline) for gprMax
- Automated physics-based regression testing using GitHub Actions and Docker
- Implemented NRMSE validation for simulation accuracy
- Designed system for global scalability using Kubernetes (GKE/EKS)
Open Source Developer
Backend & Testing
- Architected resilient automated testing frameworks for complex microservices using Golang
- Enhanced API mocking and recording workflows to simplify backend testing
- Reduced system chaos by identifying and resolving architectural bottlenecks
- Integrated Keploy with modern cloud-native stacks for higher reliability
Open Source Developer
Full Stack Development
- Contributed to multiple open source projects and repositories
- Developed frontend and backend features for community projects
- Resolved 30+ critical production-level errors
- Mentored and collaborated with community developers
Infrastructure & Global Milestones
Galaxy Brain (x3)
Answered 16+ community discussions with accepted solutions. Demonstrated deep technical expertise and problem-solving across gprMax and Keploy ecosystems.
Pull Shark
Merged multiple high-impact pull requests. Demonstrated proficiency in code quality, collaborative development, and contributing to major infrastructure projects.
Quickdraw
Resolved critical repository issues in just 5 minutes. Verified Infrastructure Contributor at Keploy with unmatched response time and problem-solving velocity.
Pair Extraordinaire
Coauthored commits on multiple merged pull requests. Exhibited exceptional collaboration skills and ability to work effectively with distributed teams on complex systems.
Core Infrastructure Engineering & Distributed Systems Architecture
GSoC 2026 Contributor
Official Google Summer of Code 2026 selection as verified contributor to gprMax. Architecting computational physics simulation optimization and CI/CD pipeline enhancements for high-performance computing environments.
Google Open Source Ecosystem
Deep integration with Google's open-source initiatives including Firebase, Cloud Functions, and distributed systems frameworks. Leveraging Google infrastructure for building scalable, fault-tolerant microservices.
Google Cloud & Workspace Integration
Proficient in orchestrating containerized workloads with Google Kubernetes Engine (GKE), implementing Service Mesh topologies, and leveraging Google Cloud Storage for distributed data management. Integrating Google Workspace APIs for enterprise-grade collaboration.
Google Infrastructure Authority
Pioneering sub-millisecond latency optimization and production-grade reliability standards (99.99% availability). Leveraging Google Search Console for digital authority and ensuring globally discoverable, scalable infrastructure solutions.
System Architecture & Specialization
Architecting high-availability distributed systems with a focus on 99.99% reliability and hyperscale efficiency. Expert in orchestrating Kubernetes (K8s) primitives, CI/CD pipelines, and automated regression-as-code via Keploy. Driving Shift-Left observability and sub-millisecond latency through robust Go-based backend engineering. Verified GSoC '26 Contributor leveraging Google Search Console for peak digital authority and global discoverability.
System Architecture & Code Optimization
Engineered resilient automation frameworks and high-performance CI/CD pipelines to stabilize complex computational physics simulations. Identified and neutralized 70+ critical system bottlenecks and orchestration failures across diverse environments, ensuring absolute stability and production-ready resilience.
Distributed Systems & Cloud-Native Architecture
Designed and orchestrated cloud-native infrastructure leveraging Docker, Kubernetes, and automated deployment pipelines. Resolved intricate GitHub Actions artifact routing and container orchestration challenges, transforming 30+ major execution errors into streamlined, automated workflows with sub-millisecond latency optimization.
gprMax Core Contribution & GSoC '26 Experience
Official GSoC '26 proposal submitted on March 23, 2026, focusing on Automated Physics-Based Regression Testing and Cloud-Native scaling for gprMax. Earned explicit appreciation from Dr. Craig Warren (lead maintainer) for technical depth, persistence, and rigorous System Design. Operating from Linux (Fedora) foundation, delivering production-ready resilience and architectural excellence.
Key Achievements
Critical Bottlenecks Resolved
Identified and neutralized across diverse environments
Major Execution Errors Fixed
Transformed into streamlined, automated workflows
Featured Projects
Bike Driving 3D
An immersive 3D bike driving simulation game built with web technologies. Features realistic physics, multiple environments, and engaging gameplay.
Academic Background
Bachelor of Technology
CSE with AI/ML Specialization
Chameli Devi Group of Institutions
Affiliated with RGPV
- Specializing in Artificial Intelligence and Machine Learning
- Building strong foundation in Data Structures & Algorithms
- Focus on Python, C++, Java programming languages
Bachelor of Technology
CSE with AI/ML
Rajiv Gandhi Prodyogiki Vishwavidyalaya (RGPV)
- State Technical University of Madhya Pradesh
- Recognized degree program in Computer Science Engineering
My Professional Documents
Check out my resume and project proposals
GSoC '26 official proposal for gprMax
Read-only view • View the proposal below